Senior Geospatial Scientist

Matter Intelligence is building the future of vision AI, focusing on innovative sensor technology and intelligence engines. The Senior Geospatial Scientist will lead the development of algorithms and data pipelines to transform hyperspectral imagery into actionable intelligence, ensuring scientific validity and production readiness of data products.

Responsibilities:

• Design and implement Machine Learning (ML) and physics-informed algorithms for hyperspectral data analysis
• Develop spectral unmixing, classification, and regression models for diverse geospatial applications
• Translate domain science (agriculture, mineralogy, ecology, aquatics) into validated algorithmic approaches
• Leverage modern AI tools to accelerate code generation and problem-solving
• Build and maintain scalable data processing pipelines on AWS to handle large-scale geospatial datasets
• Architect systems for radiometric correction, atmospheric compensation, and geometric orthorectification
• Optimize pipelines for throughput, latency, and cost across petabyte-scale imagery
• Evaluate the efficacy and accuracy of data products with rigorous statistical validation
• Maintain deep scientific understanding of all pipeline elements—from sensor physics to final output
• Design and execute calibration/validation campaigns using ground truth and reference data
• Partner with the Image Processing team to refine algorithms and support high-volume data processing
• Work closely with sensor engineers, systems engineers, and mission operations to ensure end-to-end data quality
• Contribute to technical proposals, publications, and customer engagements